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MoustafaMohamed01/README.md

Moustafa Mohamed

Aspiring AI Engineer | Machine Learning | Deep Learning | LLM Development

     


About Me

I am a second-year Software Engineering student based in Istanbul, deeply passionate about Artificial Intelligence and its applications in solving real-world problems. My focus lies in building intelligent systems powered by Machine Learning, Deep Learning, and Large Language Models (LLMs).

I have hands-on experience designing and deploying AI solutions, including LLM-powered tools for content summarization, and data analytics. I’m actively exploring areas such as Retrieval-Augmented Generation (RAG), prompt engineering, and intelligent agents.

I aim to contribute to forward-thinking teams where I can apply my technical skills, grow through real-world impact, and help shape the future of AI.

📌 I’m actively seeking AI internships, collaborative projects, and open-source contributions in the fields of AI product development, applied ML, and LLMs.


Areas of Expertise

  • Machine Learning – Regression, Classification, Clustering, Model Evaluation
  • Deep Learning – ANN, CNN, RNN using TensorFlow, Keras, and PyTorch
  • Large Language Models (LLMs) – Prompt Engineering, LLaMA, Gemini API, OpenAI API
  • Data Science & Analysis – EDA, Data Preprocessing, Feature Engineering
  • Software Engineering – Object-Oriented Programming, Clean Code, API Integration

Technologies & Tools

Languages

AI / ML / DL

Data & Visualization

Tools & Platforms


Featured Projects

An AI-powered tool that scrapes and summarizes website content using Python, LLaMA 3.2, and Gemini API.

A custom Python library for automated EDA and data cleaning using pandas — published on PyPI.

Built using TF-IDF vectorization and logistic regression with performance evaluation and visualization.

Explore more projects in my GitHub repositories


Certifications

  • IBM – Python for Data Science, AI & Development
  • Udemy – Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT Prize
  • Udemy – Python for Machine Learning & Data Science Masterclass
  • DeepLearning.AI – AI Python for Beginners
  • Udemy – LLM Engineering: Master AI, Large Language Models & Agents
  • Google Cloud – Generative AI Learning Path (In Progress)

GitHub Analytics




Let’s Connect

I'm currently open to internship opportunities, collaborative AI projects, and open-source contributions.
Feel free to connect with me on LinkedIn or explore more on my Portfolio.


Pinned Loading

  1. llm-projects llm-projects Public

    A professional collection of small-scale LLM projects showcasing practical applications of generative AI.

    Python

  2. ML-Projects ML-Projects Public

    A collection of small and experimental machine learning projects covering supervised, unsupervised, and deep learning techniques. Each project explores different algorithms, datasets, and problem-s…

    Jupyter Notebook

  3. datacmp datacmp Public

    Datacmp is a lightweight Python library for inspecting and preparing datasets. It offers summaries, column cleaning, and smart missing value handling - perfect for ML and data science workflows.

    Python

  4. DL-Projects DL-Projects Public

    A curated collection of deep learning projects showcasing applications of neural networks, CNNs, RNNs, and more, built with TensorFlow, PyTorch, and Python.

    Jupyter Notebook